QoS Detection for UC&C Media Path Selection
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Solution Overview
Problem
Unified Communication and Collaboration (UC&C) systems experience performance degradations due to inadequate Quality of Service (QoS) on networks, leading to issues like audio loss, video artifacts, and freezing, especially on slower links like Wi-Fi and Wide Area Networks, which affect user experience and productivity.
Innovation Solution
Implementing a system that detects QoS support during media path discovery between endpoints, examining markings of each available path and selecting a candidate based on QoS prioritization rules, and updating a UC&C monitoring service to alert misconfigured Network Elements through trace route functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If QoS detection is performed during media path discovery by examining markings of each available path, then optimal media path selection based on QoS is achieved, but system complexity increases due to additional monitoring and trace route functions
Solution Approach 1:
The system performs QoS detection during the media path discovery phase, examining markings of each available path before final selection. This preliminary action ensures that QoS requirements are validated in advance, allowing optimal path selection while integrating the detection process into existing discovery procedures rather than adding separate complex monitoring systems.
Solution Approach 2:
A UC&C monitoring service is introduced as an intermediary component that receives QoS results from the discovery process and coordinates trace route functions. This mediator manages the complexity by centralizing QoS monitoring operations and providing a standardized interface between the discovery process and diagnostic systems, reducing overall system complexity.
2Measurement precision
If automated diagnostic systems perform trace route functions for network elements, then misconfigured network elements are identified, but detection and measurement difficulty increases
Solution Approach 1:
Endpoints update the UC&C monitoring service with QoS results from the candidate list discovery process, creating a feedback loop. This feedback mechanism provides precise QoS measurements from actual media paths while automating the collection and analysis process, reducing the difficulty of detection through systematic data gathering and automated interpretation.
Solution Approach 2:
The system performs self-diagnosis by automatically executing trace route functions through the monitoring service when QoS issues are detected. Rather than requiring manual intervention for network element diagnostics, the system autonomously identifies misconfigured elements by analyzing QoS measurement data and coordinating trace route operations, thereby reducing detection difficulty through automation.
Data Source
AI summary
QoS support is detected during discovery of potential media paths between a source and a destination by examining the markings of each available media path and selecting a more suitable media candidate based on a set of QoS prioritization rules. Optionally, each endpoint may update a UC&C monitoring service with the QoS results of the candidate list discovery process so that any automated diagnostic and auditing systems can be alerted to any misconfigured Network Elements.